Product Forums (p/)

Product Forums (p/)

Product Hunt

community subreddits for every product

Share card

Actual performance

671upvotes
63comments
Made the leaderboard

Traction signals

Makers1

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
73%73% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
42%42% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
28%28% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
18%18% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

MyTalk
MyTalk

Build a community around your product

BetaList
Pr
Product Substitutes49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Product Substitutes

Hacker News3
Te
Tensor product analogy – functional currying52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tensor product analogy – functional currying

Hacker News8
Ev
Every Product OneLiner at Once49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Every Product OneLiner at Once

Hacker News3
Wo
Woond – Product aimed to overwhelm Procrastination65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Woond – Product aimed to overwhelm Procrastination

Hacker News2
A
A Parody of our Product49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Parody of our Product

Hacker News4
Ou
Our last product, favmonster49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Our last product, favmonster

Hacker News1
My
My First Micropublishing Product — ABCs of Strawberries49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My First Micropublishing Product — ABCs of Strawberries

Hacker News2
Sp
Spectre - Our product from Angelhack Seattle43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Spectre - Our product from Angelhack Seattle

Hacker News1
My
My first product All about CAPTCHA49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first product All about CAPTCHA

Hacker News1